Data Scientist

Summary

OpenBrand is a data-driven company focused on durable goods market intelligence, using advanced modeling, real-time pricing data, and consumer tracking surveys to help brands understand market dynamics. The Data Scientist will integrate multi-sourced data, pricing information, and survey results to generate actionable insights, while developing models, analyses, dashboards, and experimentation frameworks in collaboration with product, engineering, and business teams.

Responsibilities

• Design and implement data models that integrate multi-sourced data, real-time pricing, and consumer survey results to generate actionable insights for clients
• Cleaning and transforming large datasets
• Building and validating statistical and machine learning models
• Performing exploratory and explanatory data analysis
• Developing dashboards and visualizations to communicate findings to internal teams and external stakeholders
• Collaborating with product, engineering, and business teams to define data requirements and improve analytical products
• Contribute to experimentation frameworks, performance measurement, and ongoing refinement of methodologies to enhance the accuracy and value of OpenBrand’s market intelligence

Skills

• Strong Data Science and Data Analytics skills, including experience with machine learning techniques and analytical workflows
• Proficiency in Statistics and Data Analysis for hypothesis testing, modeling, and interpretation of complex datasets
• Ability to create clear, insightful Data Visualization using tools such as Tableau, Power BI, or modern visualization libraries
• Hands-on experience with programming languages commonly used in data science (e.g., Python, R) and SQL for data querying
• Familiarity with working with large, multi-sourced datasets and cloud-based data platforms or warehouses
• Strong problem-solving skills and ability to translate business questions into analytical approaches and measurable outcomes
• Effective written and verbal communication skills, with the ability to present technical findings to non-technical audiences
• Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or related discipline
• Comfort working in a remote, collaborative environment and managing priorities across multiple projects
• Experience in market intelligence, pricing analytics, or consumer behavior analysis is a plus

Qualifications

Must Haves

• Strong Data Science and Data Analytics skills, including experience with machine learning techniques and analytical workflows
• Proficiency in Statistics and Data Analysis for hypothesis testing, modeling, and interpretation of complex datasets
• Ability to create clear, insightful Data Visualization using tools such as Tableau, Power BI, or modern visualization libraries
• Hands-on experience with programming languages commonly used in data science (e.g., Python, R) and SQL for data querying
• Familiarity with working with large, multi-sourced datasets and cloud-based data platforms or warehouses
• Strong problem-solving skills and ability to translate business questions into analytical approaches and measurable outcomes
• Effective written and verbal communication skills, with the ability to present technical findings to non-technical audiences
• Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or related discipline
• Comfort working in a remote, collaborative environment and managing priorities across multiple projects

Nice to Haves

• Experience in market intelligence, pricing analytics, or consumer behavior analysis is a plus

Benefits

• Full-time remote role